🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

总结Prompt&LLM论文，开源数据&模型，AIGC应用

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Ex…

Contrastive Language-Image Pretraining

keras implement of transformers for humans

Neural end-to-end Speech Translation Toolkit

OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: https://casl-project.ai/

Sequence modeling benchmarks and temporal convolutional networks

XLNet: Generalized Autoregressive Pretraining for Language Understanding

A library for efficient similarity search and clustering of dense vectors.

LAnguage Representations Kit

Must-read papers on graph neural networks (GNN)

paper note, including personal comments, introduction, code etc

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

TensorFlow code and pre-trained models for BERT

Implementation of the ESIM model for natural language inference with Tensorflow

Tensorflow implementation of contextualized word representations from bi-directional language models

An open-source NLP research library, built on PyTorch.

Toy Python implementation of https://www-nlp.stanford.edu/projects/glove/

MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.